The PROMIS-16 reproduces the PROMIS-29 physical and mental health summary scores accurately in a probability-based internet panel.

PURPOSE: The Patient-Reported Outcomes Measurement Information System® (PROMIS)-16 assesses the same multi-item domains but does not include the pain intensity item in the PROMIS-29. We evaluate how well physical and mental health summary scores estimated from the PROMIS-16 reproduce those estimated using the PROMIS-29. METHODS: An evaluation of data collected from 4130 respondents from the KnowledgePanel. Analyses include confirmatory factor analysis to assess physical and mental health latent variables based on PROMIS-16 scores, reliability estimates for the PROMIS measures, mean differences and correlations of scores estimated by the PROMIS-16 with those estimated by the PROMIS-29, and associations between differences in corresponding PROMIS-16 and PROMIS-29 scores by sociodemographic characteristics. RESULTS: A two-factor (physical and mental health) model adequately fits the PROMIS-16 scores. Reliability estimates for the PROMIS-16 measures were slightly lower than for the PROMIS-29 measures. There were minimal differences between PROMIS physical and mental health summary scores estimated using the PROMIS-16 or the PROMIS-29. PROMIS-16 and PROMIS-29 score differences by sociodemographic characteristics were small. Using the PROMIS pain intensity item when scoring the PROMIS-16 produced similar estimates of physical and mental health summary scores. CONCLUSION: The PROMIS-16 provides similar estimates of the PROMIS-29 physical and mental health summary scores. The high reliability of these scores indicates they are accurate enough for use with individual patients.

Narrative comments about pediatric inpatient experiences yield substantial information beyond answers to closed-ended CAHPS survey questions.

PURPOSE: Adults' comments on patient experience surveys explain variation in provider ratings, with negative comments providing more actionable information than positive comments. We investigate if narrative comments on the Consumer Assessment of Healthcare Providers and Systems (CAHPS®) survey of inpatient pediatric care (Child HCAHPS) account for global perceptions of the hospital beyond that explained by reports about specific aspects of care. METHODS: We analyzed 545 comments from 927 Child HCAHPS surveys completed by parents and guardians of hospitalized children with at least a 24-h hospital stay from July 2017 to December 2020 at an urban children's hospital. Comments were coded for valence (positive/negative/mixed) and actionability and used to predict Overall Hospital Rating and Willingness to Recommend the Hospital along with Child HCAHPS composite scores. RESULTS: Comments were provided more often by White and more educated respondents. Negative comments and greater actionability of comments were significantly associated with Child HCAHPS global rating measures, controlling for responses to closed-ended questions, and child and respondent characteristics. Each explained an additional 8% of the variance in respondents' overall hospital ratings and an additional 5% in their willingness to recommend the hospital. CONCLUSIONS: Child HCAHPS narrative comment data provide significant additional information about what is important to parents and guardians during inpatient pediatric care beyond closed-ended composites. PRACTICE IMPLICATIONS: Quality improvement efforts should include a review of narrative comments alongside closed-ended responses to help identify ways to improve inpatient care experiences. To promote health equity, comments should be encouraged for racial-and-ethnic minority patients and those with less educational attainment.

A Comparative Analysis of the Demographics and Zip Codes of Patients Seen at the Indiana University Student Outreach Clinic.

Within a small geographic area, Marion County contains a stark spectrum of health outcomes and socioeconomic statuses. The Indiana University Student Outreach Clinic (IUSOC) serves as a safety net provider, offering free health and social services in the Near Eastside neighborhood of Indianapolis. The aim of this study was to characterize the demographics and geographic distribution of the IUSOC's patient population. From January to September 2023, 612 patients visited the IUSOC, and 460 self-identified as Marion County residents. 63.9% of patients were between 45 and 64 years old. 66.8% were Non-Hispanic (NH) Black, and 23.3% were Hispanic. 18.9% spoke Spanish and had limited English proficiency. Based on the Distressed Communities Index (DCI), 58.7% lived in "Distressed" zip codes, indicating economic vulnerability and disparities. The zip code with the greatest number of IUSOC patients had the highest rate of uninsured adults in Marion County. IUSOC patients are primarily middle-aged minorities who live in zip codes with low socioeconomic rankings by DCI. This information can be used to improve community resource referral pathways in the clinic.

Associations of Primary Care Provider Burnout with Quality Improvement, Patient Experience Measurement, Clinic Culture, and Job Satisfaction.

BACKGROUND: Burnout among providers negatively impacts patient care experiences and safety. Providers at Federally Qualified Health Centers (FQHC) are at high risk for burnout due to high patient volumes; inadequate staffing; and balancing the demands of patients, families, and team members. OBJECTIVE: Examine associations of provider burnout with their perspectives on quality improvement (QI), patient experience measurement, clinic culture, and job satisfaction. DESIGN: We conducted a cross-sectional provider survey about their perspectives including the single-item burnout measure. We fit separate regression models, controlling for provider type, gender, being multilingual, and fixed effects for clinic predicting outcome measures from burnout. PARTICIPANTS: Seventy-four providers from 44 clinics in large, urban FQHC (52% response rate; n = 174). MAIN MEASURES: Survey included a single-item, self-defined burnout measure adapted from the Physician Worklife Survey, and measures from the RAND AMA Study survey, Heath Tracking Physician survey, TransforMed Clinician and Staff Questionnaire, Physician Worklife Survey, Minimizing Errors Maximizing Outcomes survey, and surveys by Friedberg et al. 31 and Walling et al. 32 RESULTS: Thirty percent of providers reported burnout. Providers in clinics with more facilitative leadership reported not being burned out (compared to those reporting burnout; p-values < 0.05). More pressures related to patient care and lower job satisfaction were associated with burnout (p-values < 0.05). CONCLUSIONS: Creating provider-team relationships and environments where providers have the time and space necessary to discuss changes to improve care, ideas are shared, leadership supports QI, and QI is monitored and discussed were related to not being burned out. Reducing time pressures and improving support needed for providers to address the high-need levels of FQHC patients can also decrease burnout. Such leadership and support to improving care may be a separate protective factor against burnout. Research is needed to further examine which aspects of leadership drive down burnout and increase provider involvement in change efforts and improving care.

Classifying patients with non-specific chronic low back pain using the impact stratification score in an online convenience sample.

BACKGROUND: In 2014, the National Institute of Health Pain Consortium's research task force (RTF) on research standards for chronic low back pain (CLBP) proposed the Impact Stratification Score (ISS) as a patient-reported outcome measure that could stratify patients by the impact CLBP has on their lives. This work compares three newly developed ISS-based classifications to the RTF's original to provide an optimal recommendation. METHODS: The online sample included 1226 individuals from Amazon's Mechanical Turk who indicated having non-specific CLBP, average age of 40, 49% female, and 67% White. Participants completed the PROMIS-29 v2.1 profile survey that contains the 9 ISS items as well the Roland-Morris Disability Questionnaire (RMDQ) and Graded Chronic Pain Scale (GCPS). Other items included high-impact chronic pain; not working due to health problems; overall health; and number of healthcare visits for back pain in the past 6 months. Three new classifications were created using quartiles (Classification 2), latent profile analysis (Classification 3), and one modeled after the GCPS (Classification 4). Classifications were subsequently compared to the RTF-proposed classification (Classification 1) on several concurrent and prognostic criteria. RESULTS: Classification 1 had three CLBP severity groups, four in Classification 2, three in Classification 3, and four in Classification 4. All novel classifications improved upon the original. Classification 2 performed best at minimizing the classification of those with negative outcomes into the lowest severity groups at baseline (e.g., 11% with RMDQ ≥ 7) and 6 months (e.g., 8.2% had fair/poor health). Classification 4 performed best at maximizing classification of those with negative outcomes into the most severe group concurrently (e.g., 100% had GCPS grade ≥ 2) and at 6 months (e.g., 100% with RMDQ ≥ 7). CONCLUSIONS: We developed three ISS-based classification schemes and tested them against several outcomes. All three improved upon the original scheme. While appearing more optimal than other classifications in the lowest severity groups, Classification 2 presents some considerations and limitations. Given that Classification 4 was an improvement at the lowest end of severity and was the best at the highest end, it is our tentative recommendation that this approach be adopted to classify individuals with non-specific CLBP.

Shadow Coaching Improves Patient Experience for English-Preferring Patients but not for Spanish-Preferring Patients.

BACKGROUND: Shadow coaching, a type of one-on-one provider counseling by trained peers, is an effective strategy for improving provider behaviors and patient interactions, but its effects on improving patient experience for English- and Spanish-preferring patients is unknown. OBJECTIVE: Assess effects of shadow coaching on patient experience for English- and for Spanish-preferring patients. DESIGN: We analyzed 2012-2019 Clinician and Group Consumer Assessment of Healthcare Providers and Systems (CG-CAHPS) data (n=46,089) from an urban Federally Qualified Health Center with 44 primary care practices and 320 providers. One-third (n=14,631) were Spanish-preferring patients. We fit mixed-effects regression models with random effects for provider (the level of treatment assignment) and fixed effects for time (a linear spline for time with a knot and "jump" at coaching date), patient characteristics, and site indicators, stratified by preferred language. PARTICIPANTS: The 74 providers who had a 6-month average top-box score on the CAHPS overall provider rating below 90 (on a 100-point scale) were shadow coached. Similar percentages of English-preferring (45%) and Spanish-preferring patients (43%) were seen by coached providers. INTERVENTION: Trained providers observed patient care by colleagues and provided suggestions for improvement. Verbal feedback was provided immediately after the observation and the participant received a written report summarizing the comments and recommendations from the coaching session. MAIN MEASURES: CG-CAHPS Visit Survey 2.0 provider communication composite and overall provider rating (0-100 scoring). KEY RESULTS: We found a statistically significant 2-point (small) jump in CAHPS provider communication and overall provider rating among English-preferring patients of coached providers. There was no evidence of a coaching effect on patient experience for Spanish-preferring patients. CONCLUSIONS: Coaching improved care experiences for English-preferring patients but may not have improved patient experience for Spanish-preferring patients. Selection and training of providers to communicate effectively with Spanish-preferring patients is needed to extend the benefits of shadow coaching to Spanish-preferring patients.

Evaluation of a protocol for eliciting narrative accounts of pediatric inpatient experiences of care.

OBJECTIVE: To evaluate the measurement properties of a set of six items designed to elicit narrative accounts of pediatric inpatient experience. DATA SOURCES: Data came from 163 participants recruited from a probability-based online panel of U.S. adults. Participants were family members of a child who had an overnight hospital stay in the past 12 months. STUDY DESIGN: Cross-sectional survey with follow-up phone interviews. DATA COLLECTION/EXTRACTION METHODS: Participants completed an online (n = 129) or phone (n = 34) survey about their child's hospitalization experience. The survey contained closed-ended items from the Child Hospital Consumer Assessment of Healthcare Providers and Systems (Child HCAHPS) survey, followed by the six narrative items. Approximately 2 weeks after completing the survey, 47 participants additionally completed a one-hour, semi-structured phone interview, the results of which served as a "gold standard" for evaluating the fidelity of narrative responses. Qualitative content analysis was used to code narrative and interview responses for domains of patient experience and actionability. PRINCIPAL FINDINGS: The average narrative was 248 words (SD = 319). Seventy-nine percent of narratives mentioned a topic included in the Child HCAHPS survey; 89% mentioned a topic not covered by that survey; and 75% included at least one detailed description of an actionable event. Overall, there was 66% correspondence between narrative and interview responses. Correspondence was higher on the phone than in the online condition (75% vs. 59%). CONCLUSIONS: Narratives elicited from rigorously designed multi-item sets can provide detailed, substantive information about pediatric inpatient experiences that hospitals could use to improve child and family experiences during pediatric hospitalization. They add context to closed-ended survey item responses and provide information about experiences of care important to children and families that are not included in quantitative surveys.

Follow-Up Shadow Coaching Improves Primary Care Provider-Patient Interactions and Maintains Improvements When Conducted Regularly: A Spline Model Analysis.

INTRODUCTION: Shadow coaching improves provider-patient interactions, as measured by CG-CAHPS® overall provider rating (OPR) and provider communication (PC). However, these improvements erode over time. AIM: Examine whether a second coaching session (re-coaching) improves and sustains patient experience. SETTING: Large, urban Federally Qualified Health Center PROGRAM: Trained providers observed patient care by colleagues and provided suggestions for improvement. Providers with OPRs<90 (0-100-point scale) were eligible. EVALUATION: We used stratified randomization based on provider type and OPR to assign half of the 40 eligible providers to re-coaching. For OPR and PC, we fit mixed-effects regression models with random-effects for provider (level of treatment assignment) and fixed-effects for time (linear spline with knots and possible "jump" at initial coaching and re-coaching), previous OPR, patient characteristics, and sites. We observed a statistically significant medium jump among re-coached providers after re-coaching on OPR (3.7 points) and PC (3.5 points); differences of 1, 3, and ≥5-points for CAHPS measures are considered small, medium, and large. Improvements from re-coaching persisted for 12 months for OPR and 8 months for PC. DISCUSSION: Re-coaching improved patient experience more than initial coaching, suggesting the reactivation of knowledge from initial coaching. However, re-coaching gains also eroded. Coaching should occur every 6 to 12 months to maintain behaviors and scores.

Associations of pediatric nurse burnout with involvement in quality improvement.

PURPOSE: Burnout among nurses negatively impacts patient care experiences and safety. Inpatient pediatric nurses are high-risk for burnout due to high patient volumes, inadequate staffing, and needing to balance the demands of patients, families and team members. We examined the associations of inpatient pediatric nurse burnout with their perspectives on the importance of quality at the hospital, patient experience measurement, quality improvement (QI), unit culture, and staffing. METHODS: We conducted a cross-sectional study at an urban children's hospital. We surveyed pediatric nurses about their perspectives including the single-item Maslach Burnout Inventory. We fit separate regression models, controlling for role, location and unit, predicting outcome measures from the dichotomized burnout scale. RESULTS: Twenty-seven percent of pediatric nurses reported burnout. Nurses who had more confidence in patient experience measurement, received frequent patient experience performance reports, felt included in QI, and experienced QI efforts as integrated into patient care reported not being burned out (compared to those reporting burnout; all p-values<0.05). More open communication among nurses (e.g., about possible problems with care) and unit-level teamwork were also associated with not being burned out, whereas a larger QI workload was associated with burnout (p-values<0.05). CONCLUSIONS: Open communication among nurses and nurses being more involved and valued in QI efforts were related to not being burned out. Research is needed to further examine aspects of QI involvement that reduce burnout. PRACTICE IMPLICATIONS: Supporting open communication among pediatric nurses, engaging them in QI and integrating QI into patient care while minimizing QI workload may decrease burnout.

Crosswalking the National Institutes of Health Impact Stratification Score to the PEG.

OBJECTIVE: To crosswalk the National Institutes of Health (NIH) Pain Consortium's Research Task Force proposed Impact Stratification Score (ISS) to the PEG (Pain Intensity, Interference With Enjoyment of Life, Interference With General Activity) Scale. DESIGN: Cross-sectional data collected in 2021. Ordinary least squares regression analyses of ISS and PEG. SETTING: Amazon Mechanical Turk workers. PARTICIPANTS: 1931 adults with back pain with an average age of 41 (range, 19-77); 48% were female, 16% Hispanic, 7% non-Hispanic Black, 5% non-Hispanic Asian, and 71% non-Hispanic White (N=1931). INTERVENTIONS: Not applicable. MAIN OUTCOME MEASURES: The Patient-Reported Outcomes Measurement Information System (PROMIS)-29+2 v2.1 survey that includes the ISS, and the 3-item PEG. RESULTS: The ISS and PEG had a correlation coefficient of 0.74. The ISS accounted for 55% of the adjusted variance in the PEG and the standardized average deviation between observed and predicted scores (normalized mean absolute error) was 0.53. Likewise, the PEG explained 55% of the variance in the ISS with a normalized mean absolute error of 0.52. CONCLUSIONS: This study provides a crosswalk between the ISS and PEG that can be used to predict one from the other. The regression equations can facilitate comparisons in studies that use different measures.

Analyses of Cross-Sectional Data to Link the PEG With the Patient Reported Outcomes Measurement and Information System (PROMIS) Global Physical Health Scale.

It is challenging to synthesize findings across studies of pain impact. This study develops a link to estimate the Patient-Reported Outcomes Measurement Information System (PROMIS) global health measure from the 3-item Pain intensity, interference with Enjoyment of life, interference with General activity (PEG) scale. The PROMIS and PEG items were administered to 795 adults (average age = 51; 54% female, 79% White). We estimated correlations among the PEG and PROMIS items and conducted factor analysis to identify the best subset of PROMIS items for linking to the PEG. An item response theory graded response model was estimated to link the PEG with the 4-item PROMIS global physical health scale. A categorical single-factor model and a bifactor model provided support for a single dimension for the PEG and PROMIS global physical health items. The product-moment correlation between estimated PROMIS global physical health scale from the PEG and the actual global physical health score was .74. The mean difference between estimated PROMIS global physical health scale score from the PEG and the observed global physical health score was less than a T-score point. This study makes it possible to estimate the average global physical health for group-level comparisons in research that includes the PEG. PERSPECTIVE: This article describes an empirical link of the PEG to the PROMIS global physical health scale that makes it possible to estimate the average global physical health in studies that include the PEG. This link can facilitate comparisons among studies that have not administered the PEG or the PROMIS global health scale.

A Simple Method for Simulating Dementia Onset and Death within an Existing Demographic Model.

BACKGROUND: Dementia is a common disease that has an impact on both the affected individual and family members who provide caregiving. Simulation models can assist in setting policy that anticipates public health needs by predicting the demand for and availability of care. OBJECTIVE: We developed a relatively simple method for simulating the onset of dementia that can be used in combination with an existing microsimulation model. METHODS: We started with Socsim, a demographic microsimulation model that simulates a population with family kinship networks. We simulated dementia in the Socsim population by simulating the number of individuals diagnosed with dementia in their lifetime and the ages of onset and death from dementia for each of these dementia cases. We then matched dementia cases to the simulated population based on age at death, so for each individual, we simulate whether they develop dementia and, if so, their age at onset. This approach simulates dementia onset but does not alter the demographic model's simulated age of death. RESULTS: We selected model dementia parameters so that the combined Socsim-Dementia model reproduces published dementia prevalence rates and survival times after diagnosis. CONCLUSIONS: Adding simulation of dementia to a kinship network model enables prediction of the availability of family caregivers for people with dementia under a range of different assumptions about future fertility, mortality, and dementia risk. We demonstrated how to add simulation of dementia onset and death to an existing microsimulation model to obtain a method for predicting dementia prevalence in the context of another more detailed model. The approach we developed can be generalized to simulate other progressive health conditions that affect mortality.

Practices and changes associated with patient-centered medical home transformation.

OBJECTIVES: Knowing which patient-centered medical home (PCMH) care delivery changes and quality improvement (QI) practices further PCMH implementation is essential. STUDY DESIGN: We used the 2008-2017 National Committee of Quality Assurance (NCQA) PCMH directory of 15,188 primary care practices that received Level 1, 2, or 3 NCQA PCMH recognition to construct a stratified national sample of 105 practices engaged in PCMH transformation. We examined their QI practices and PCMH changes associated with PCMH transformation. METHODS: We derived QI practice and PCMH change variables from semistructured interviews. Practice leaders completed the PCMH Assessment (PCMH-A) measuring the practice's degree of PCMH implementation, which is a proxy for patient-centeredness. Controlling for practice characteristics, we regressed PCMH-A scores on QI practice and PCMH change variables. RESULTS: Practices undergoing PCMH transformation nationwide most commonly made care delivery changes in access and continuity of care. To improve quality, practices most commonly engaged in discussing and targeting areas of patient experience improvement, trending performance, and conducting targeted QI. However, practices lower in patient-centeredness as measured by the PCMH-A were more likely to engage in efforts to improve patient experiences, such as reviewing patient experience data or engaging in 1-on-1 provider counseling related to patient interactions. Mature PCMH practices focused on changes in continuity of care. CONCLUSIONS: Practices undertake a wide variety of care delivery changes and QI practices simultaneously to meet PCMH requirements. The patient experience-specific QI practices and PCMH care delivery changes that practices make to improve patient-centeredness differ by years of PCMH recognition.

Usefulness of Child HCAHPS Survey Data for Improving Inpatient Pediatric Care Experiences.

OBJECTIVES: Quality improvement (QI) requires data, indicators, and national benchmarks. Knowledge about the usefulness of Child Hospital Consumer Assessment of Healthcare Providers and Systems (Child HCAHPS) data are lacking. We examined quality leader and frontline staff perceptions about patient experience measurement and use of Child HCAHPS data for QI. METHODS: We surveyed children's hospital leaders and staff about their use of Child HCAHPS for QI, including measures from other studies. We compared scale and item means for leaders and staff and compared means to other studies. RESULTS: Almost all leaders, but only one-third of staff, received reports with Child HCAHPS data. Leaders found the data more useful for comparisons to other hospitals than did staff. Both agreed on the validity of Child HCAHPS scores and used these data for improving pediatric care experiences. They agreed the data accurately reflect their hospital's quality of care, provide specific information for QI, and can be used to improve pediatric care experiences. They also agreed on approaches to improve Child HCAHPS scores. Among staff, QI was reported as essential to their daily work and that Child HCAHPS data were integral to QI. CONCLUSIONS: As uptake of the Child HCAHPS survey increases, our study of one medium-sized, urban children's hospital revealed that leaders and staff believe Child HCAHPS provides actionable metrics for improvement. Our study fills a gap in research about the use of Child HCAHPS for pediatric QI. A multisite evaluation would provide further information about how the Child HCAHPS survey can improve care.

Shadow Coaching Improves Patient Experience With Care, But Gains Erode Later.

BACKGROUND: Health care organizations strive to improve patient care experiences. Some use one-on-one provider counseling (shadow coaching) to identify and target modifiable provider behaviors. OBJECTIVE: We examined whether shadow coaching improves patient experience across 44 primary care practices in a large urban Federally Qualified Health Center. RESEARCH DESIGN: Seventy-four providers with "medium" (ie, slightly below average) overall provider ratings received coaching and were compared with 246 uncoached providers. We fit mixed-effects regression models with random effects for provider (level of treatment assignment) and fixed effects for time (linear spline with a knot and "jump" at coaching date), patient characteristics and site indicators. By design, coached providers performed worse at selection; models account for the very small (0.2 point) regression-to-the-mean effects. We assessed differential effects by coach. SUBJECTS: A total of 46,452 patients (from 320 providers) who completed the Clinician and Group Consumer Assessment of Healthcare Providers and Systems (CG-CAHPS) Visit Survey 2.0. MEASURES: CAHPS overall provider rating and provider communication composite (scaled 0-100). RESULTS: Providers not chosen for coaching had a nonsignificant change in performance during the period when selected providers were coached. We observed a statistically significant 2-point (small-to-medium) jump among coached providers after coaching on the CAHPS overall provider rating and provider communication score. However, these gains disappeared after 2.5 years; effects differed by coach. CONCLUSIONS: Shadow coaching improved providers' overall performance and communication immediately after being coached. Regularly planned shadow coaching "booster" sessions might maintain or even increase the improvement gained in patient experience scores, but research examining additional coaching and optimal implementation is needed.

Provider and coach perspectives on implementing shadow coaching to improve provider-patient interactions.

BACKGROUND: Healthcare organizations want to improve patient care experiences. Some use 'shadow coaching' to improve interactions between providers and patients. A Federally Qualified Health Center (FQHC) implemented a half-day observation of individual primary-care providers by a 'shadow coach' during real-time patient visits, including an in-person verbal debrief afterwards and a written report with specific recommendations. Shadow coaching identified areas for improvement. We aimed to characterize lessons and barriers to implementing shadow coaching as a mechanism to improve interactions with patients and change organizational culture. METHODS: We examined provider and coach perceptions of shadow coaching through interviewing coached providers, stratified by provider type and Consumer Assessment of Healthcare Providers and Systems (CAHPS) performance, and the coaches who coached the most providers. We interviewed 19 coached providers and 2 coaches in a large, urban FQHC. Content analysis identified implementation barriers, facilitators and themes. RESULTS: Coaches reported needing 'buy-in' throughout the organization and the need to be credible and empathize with the providers being coached. Most providers reported behaviour changes based on recommendations. Almost all providers recalled at least one coaching recommendation that was actionable. Providers and coaches highlighted patient-level and practise-level barriers that impeded their ability to implement recommended improvements. CAHPS data was reported as an effective performance management metric for measuring change, counselling providers, and evaluating provider-level efforts but was not always specific enough to yield tangible recommendations. CONCLUSIONS: Regular messaging by leadership about the priority and purpose of shadow coaching was essential for both physician engagement and its mature implementation across the organization. Coaching could be embedded into a long-term strategy of professional development with periodic re-coaching. Re-coaching sessions could target issues raised by providers, such as dealing with difficult patients or specific populations. Research on the timing and content of re-coaching is needed.

Assessing the Significance of Individual Change in 2 Samples of Patients in Treatment for Low Back Pain Using 5 Different Statistical Indicators.

OBJECTIVE: The purpose of this study was to estimate the significance of individual change using 5 statistical indicators in 2 samples of patients treated for low back pain. METHODS: This secondary analysis used observational and clinical trial data from 2 samples of patients with low back pain to compare 5 ways of estimating significant individual change on the Impact Stratification Score (ISS) administered at the following 2 time points: 3 months apart in an observational study of 1680 patients undergoing chiropractic care, and 6 weeks apart in a randomized trial of 750 active-duty military personnel with low back pain. The following 5 methods were compared: (1) standard deviation index; (2) standard error of measurement (SEM); (3) standard error of estimate (SEE); (4) standard error of prediction (SEP); and (5) the reliable change index (RCI). The ISS is the sum of the Patient-Reported Outcomes Measurement Information System (PROMIS)-29 v2.1 physical function, pain interference, and pain intensity scores and is scored to have a possible range of 8 (least impact) to 50 (greatest impact). RESULTS: The amount of change on the ISS needed for significant individual change in both samples was 5 for the SEM and for the SEE and 7 for the SEP and RCI. CONCLUSIONS: The results of the current study provide some preliminary support for use of the SEP or the RCI to identify significant individual change and provide estimated thresholds of individual change that can be used for the ISS. The SEP and RCI estimates of significant change were consistent with retrospective ratings of change of at least moderately better in prior research. These 2 were less likely than other methods to classify people with low back pain as responders who have not actually gotten better (false positive). In contrast, the SEM and SEE were less likely to miss real change (false negative).

The Foreclosure Crisis, Community Change, and the Cognitive Health of Older Adults.

OBJECTIVES: While home foreclosures are often thought of as a household-level event, the consequences may be far-reaching, and spill over to the broader community. Older adults, in particular, could be affected by the spiral of community changes that result from foreclosures, but we know very little about how the foreclosure crisis is related to older adult health, in particular cognition. METHOD: This article uses growth curve models and data from the Health and Retirement Study matched to Census and county-level foreclosure data to examine whether community foreclosures are related to older adults' cognitive health and the mechanisms responsible. RESULTS: We find that higher rates of county-level foreclosures are associated with a faster decline in individual cognition at older ages. Although we examined an extensive number of individual and community mechanisms, including individual housing wealth and depressive symptoms, community structural factors, social factors, and perceptions of physical disorder and cohesion, none of the mechanisms examined here explained this relationship. DISCUSSION: This study shows that the adverse consequences of home foreclosures spill over to the local community, with implications for the cognitive health of older adults.

What influences evidence-based treatment sustainment after implementation support ends? A mixed method study of the adolescent-community reinforcement approach.

BACKGROUND: Little is known about clinician perspectives regarding the factors that support or hinder the long-term delivery (i.e., sustainment) of evidence-based treatments in community-based treatment settings. METHODS: Clinical staff from 82 community-based treatment organizations that received federal grant funding to support the delivery of the Adolescent Community Reinforcement Approach (A-CRA), an evidence-based treatment for adolescent substance use, were asked to participate in interviews focused on understanding their perspectives about the sustainment of A-CRA. Qualitative themes were identified using inductive and deductive approaches. Then the themes were dichotomized (present/absent) so that quantitative comparisons could be made between staff from organizations that sustained and did not sustain delivery of A-CRA. Administrative data about each organization in relation to federal funding support and their primary focus was also examined to explore whether these characteristics were associated with A-CRA sustainment. RESULTS: Staff (n = 134) representing 78 organizations participated in the interviews. Staff from organizations that had received multiple federal grants to support the delivery of A-CRA and whose primary focus was substance use rather than other conditions (mental health or primary care) were more likely to report sustaining A-CRA. Staff from sustaining organizations were more likely to report positive grant experiences and success with maintaining both organizational and external support in comparison to staff from non-sustaining organizations. Staff from non-sustaining organizations were more likely to report barriers to sustaining A-CRA, including more challenges with intervention delivery, and lack of internal support and external funding. CONCLUSIONS: Our findings lend empirical support for implementation theories in that multiple factors appear to be associated with long-term delivery of an evidence-based treatment. Although A-CRA was generally perceived positively by staff from both organizations that sustained A-CRA and organizations that did not sustain A-CRA, inner setting factors (e.g., structural policies, leadership support and staff retention) along with outer setting factors (e.g., external funding support) were reported as key to A-CRA sustainment.